Florian Wilhelm
Principal Data Scientist, inovex GmbH

Florian Wilhelm is a data scientist at inovex in Cologne, Germany, where he focuses on recommender systems, mathematical modelling, and bringing data science to production. Previously, he worked at Blue Yonder, the leading platform provider for predictive applications and big data in the European market, and held a postdoctoral position at the Karlsruhe Institute of Technology. Florian’s background is in mathematics. He has more than five years of project experience in the field of predictive and prescriptive analytics and big data, as well as the domains of mathematical modelling, statistics, machine learning, high-performance computing and data mining. For the past few years, he has programmed mostly with the Python data science stack (NumPy, SciPy, scikit-learn, pandas, Matplotlib, Jupyter, etc.), to which he’s also contributed several extensions.

Even in the age of big data, labeled data is a scarce resource in many machine learning use cases. Florian Wilhelm evaluates generative adversarial networks (GANs) when used to extract information from vehicle registrations under a varying amount of labeled data, compares the performance with supervised learning techniques, and demonstrates a significant improvement when using unlabeled data.
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